CoSynFlow: conformal symplectic neural flows for cross-system prediction of dissipative Hamiltonian dynamics
Read the original at arxiv.org→arXiv:2608.00571v1 Announce Type: new Abstract: Learning solution operators for differential equations is a central problem in scientific machine learning. However, many neural operator methods optimize prediction...
Original headline: "CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics"
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- Aug 4, 04:00 UTC arXiv cs.LG lead source CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics